
"""simple docstring"""

import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mvp import MvpTokenizer


SCREAMING_SNAKE_CASE_            =    logging.get_logger(__name__)


SCREAMING_SNAKE_CASE_            =    {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

# See all MVP models at https://huggingface.co/models?filter=mvp
SCREAMING_SNAKE_CASE_            =    {
    '''vocab_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json''',
    },
    '''added_tokens.json''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json''',
    },
    '''merges_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json''',
    },
}

SCREAMING_SNAKE_CASE_            =    {
    '''RUCAIBox/mvp''': 1024,
}
class   _UpperCAmelCase				(		snake_case__				):
      __SCREAMING_SNAKE_CASE :				Union[str, Any]				   =						VOCAB_FILES_NAMES
      __SCREAMING_SNAKE_CASE :				Any				   =						PRETRAINED_VOCAB_FILES_MAP
      __SCREAMING_SNAKE_CASE :				Optional[int]				   =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __SCREAMING_SNAKE_CASE :				Any				   =						['''input_ids''', '''attention_mask''']
      __SCREAMING_SNAKE_CASE :				Optional[Any]				   =						MvpTokenizer




      def __init__(				self ,							lowercase_=None ,							lowercase_=None ,							lowercase_=None ,							lowercase_="replace" ,							lowercase_="<s>" ,							lowercase_="</s>" ,							lowercase_="</s>" ,							lowercase_="<s>" ,							lowercase_="<unk>" ,							lowercase_="<pad>" ,							lowercase_="<mask>" ,							lowercase_=False ,							lowercase_=True ,							**lowercase_ ,							)    ->       Tuple:
          super().__init__(
              _UpperCAmelCase ,							_UpperCAmelCase ,							tokenizer_file=_UpperCAmelCase ,							errors=_UpperCAmelCase ,							bos_token=_UpperCAmelCase ,							eos_token=_UpperCAmelCase ,							sep_token=_UpperCAmelCase ,							cls_token=_UpperCAmelCase ,							unk_token=_UpperCAmelCase ,							pad_token=_UpperCAmelCase ,							mask_token=_UpperCAmelCase ,							add_prefix_space=_UpperCAmelCase ,							trim_offsets=_UpperCAmelCase ,							**_UpperCAmelCase ,							)

          UpperCAmelCase          =       json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()				)
          if pre_tok_state.get('add_prefix_space' ,							_UpperCAmelCase				) != add_prefix_space:
              UpperCAmelCase          =       getattr(_UpperCAmelCase ,							pre_tok_state.pop('type'				)				)
              UpperCAmelCase          =       add_prefix_space
              UpperCAmelCase          =       pre_tok_class(**_UpperCAmelCase				)

          UpperCAmelCase          =       add_prefix_space

          # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
          UpperCAmelCase          =       'post_processor'
          UpperCAmelCase          =       getattr(self.backend_tokenizer ,							_UpperCAmelCase ,							_UpperCAmelCase				)
          if tokenizer_component_instance:
              UpperCAmelCase          =       json.loads(tokenizer_component_instance.__getstate__()				)

              # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
              if "sep" in state:
                  UpperCAmelCase          =       tuple(state['sep']				)
              if "cls" in state:
                  UpperCAmelCase          =       tuple(state['cls']				)

              UpperCAmelCase          =       False

              if state.get('add_prefix_space' ,							_UpperCAmelCase				) != add_prefix_space:
                  UpperCAmelCase          =       add_prefix_space
                  UpperCAmelCase          =       True

              if state.get('trim_offsets' ,							_UpperCAmelCase				) != trim_offsets:
                  UpperCAmelCase          =       trim_offsets
                  UpperCAmelCase          =       True

              if changes_to_apply:
                  UpperCAmelCase          =       getattr(_UpperCAmelCase ,							state.pop('type'				)				)
                  UpperCAmelCase          =       component_class(**_UpperCAmelCase				)
                  setattr(self.backend_tokenizer ,							_UpperCAmelCase ,							_UpperCAmelCase				)




      @property
      def      a_   (				self				)    ->       str:
          if self._mask_token is None:
              if self.verbose:
                  logger.error('Using mask_token, but it is not set yet.'				)
              return None
          return str(self._mask_token				)




      @mask_token.setter
      def      a_   (				self ,							lowercase_				)    ->       Optional[Any]:
          UpperCAmelCase          =       AddedToken(_UpperCAmelCase ,							lstrip=_UpperCAmelCase ,							rstrip=_UpperCAmelCase				) if isinstance(_UpperCAmelCase ,							_UpperCAmelCase				) else value
          UpperCAmelCase          =       value




      def      a_   (				self ,							*lowercase_ ,							**lowercase_				)    ->       BatchEncoding:
          UpperCAmelCase          =       kwargs.get('is_split_into_words' ,							_UpperCAmelCase				)

          if is_split_into_words and not self.add_prefix_space:
              raise ValueError(
                  F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
                  'to use it with pretokenized inputs.'				)

          return super()._batch_encode_plus(*_UpperCAmelCase ,							**_UpperCAmelCase				)




      def      a_   (				self ,							*lowercase_ ,							**lowercase_				)    ->       BatchEncoding:
          UpperCAmelCase          =       kwargs.get('is_split_into_words' ,							_UpperCAmelCase				)

          if is_split_into_words and not self.add_prefix_space:
              raise ValueError(
                  F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
                  'to use it with pretokenized inputs.'				)

          return super()._encode_plus(*_UpperCAmelCase ,							**_UpperCAmelCase				)




      def      a_   (				self ,							lowercase_ ,							lowercase_ = None				)    ->       Tuple[str]:
          UpperCAmelCase          =       self._tokenizer.model.save(_UpperCAmelCase ,							name=_UpperCAmelCase				)
          return tuple(_UpperCAmelCase				)




      def      a_   (				self ,							lowercase_ ,							lowercase_=None				)    ->       str:
          UpperCAmelCase          =       [self.bos_token_id] + token_ids_a + [self.eos_token_id]
          if token_ids_a is None:
              return output

          return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]




      def      a_   (				self ,							lowercase_ ,							lowercase_ = None				)    ->       List[int]:
          UpperCAmelCase          =       [self.sep_token_id]
          UpperCAmelCase          =       [self.cls_token_id]

          if token_ids_a is None:
              return len(cls + token_ids_a + sep				) * [0]
          return len(cls + token_ids_a + sep + sep + token_ids_a + sep				) * [0]








'''simple docstring'''

import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_bart import BartTokenizer


SCREAMING_SNAKE_CASE__     :						List[str]	=  logging.get_logger(__name__)


SCREAMING_SNAKE_CASE__     :						Optional[Any]	=  {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

# See all BART models at https://huggingface.co/models?filter=bart
SCREAMING_SNAKE_CASE__     :						Dict	=  {
    '''vocab_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/vocab.json''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/vocab.json''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/merges.txt''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/merges.txt''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/tokenizer.json''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/tokenizer.json''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/tokenizer.json''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/tokenizer.json''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/tokenizer.json''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/tokenizer.json''',
    },
}

SCREAMING_SNAKE_CASE__     :						Optional[int]	=  {
    '''facebook/bart-base''': 1_0_2_4,
    '''facebook/bart-large''': 1_0_2_4,
    '''facebook/bart-large-mnli''': 1_0_2_4,
    '''facebook/bart-large-cnn''': 1_0_2_4,
    '''facebook/bart-large-xsum''': 1_0_2_4,
    '''yjernite/bart_eli5''': 1_0_2_4,
}

class 							a__( snake_case__     ):
			a_	: Dict									=      VOCAB_FILES_NAMES
			a_	: Tuple									=      PRETRAINED_VOCAB_FILES_MAP
			a_	: Tuple									=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			a_	: List[Any]									=      ['''input_ids''', '''attention_mask''']
			a_	: Union[str, Any]									=      BartTokenizer






			def __init__(     self					,   _UpperCAmelCase=None					,   _UpperCAmelCase=None					,   _UpperCAmelCase=None					,   _UpperCAmelCase="replace"					,   _UpperCAmelCase="<s>"					,   _UpperCAmelCase="</s>"					,   _UpperCAmelCase="</s>"					,   _UpperCAmelCase="<s>"					,   _UpperCAmelCase="<unk>"					,   _UpperCAmelCase="<pad>"					,   _UpperCAmelCase="<mask>"					,   _UpperCAmelCase=False					,   _UpperCAmelCase=True					,   **_UpperCAmelCase					,   )							->							int:
					super().__init__(
					    _UpperCAmelCase					,   _UpperCAmelCase					,   tokenizer_file=_UpperCAmelCase					,   errors=_UpperCAmelCase					,   bos_token=_UpperCAmelCase					,   eos_token=_UpperCAmelCase					,   sep_token=_UpperCAmelCase					,   cls_token=_UpperCAmelCase					,   unk_token=_UpperCAmelCase					,   pad_token=_UpperCAmelCase					,   mask_token=_UpperCAmelCase					,   add_prefix_space=_UpperCAmelCase					,   trim_offsets=_UpperCAmelCase					,   **_UpperCAmelCase					,   )

					snake_case__	     =json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()						)
					if pre_tok_state.get('add_prefix_space'					,   _UpperCAmelCase						) != add_prefix_space:
							snake_case__	     =getattr(_UpperCAmelCase					,   pre_tok_state.pop('type'						)						)
							snake_case__	     =add_prefix_space
							snake_case__	     =pre_tok_class(**_UpperCAmelCase						)

					snake_case__	     =add_prefix_space

					# the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
					snake_case__	     ='post_processor'
					snake_case__	     =getattr(self.backend_tokenizer					,   _UpperCAmelCase					,   _UpperCAmelCase						)
					if tokenizer_component_instance:
							snake_case__	     =json.loads(tokenizer_component_instance.__getstate__()						)

							# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
							if "sep" in state:
									snake_case__	     =tuple(state['sep']						)
							if "cls" in state:
									snake_case__	     =tuple(state['cls']						)

							snake_case__	     =False

							if state.get('add_prefix_space'					,   _UpperCAmelCase						) != add_prefix_space:
									snake_case__	     =add_prefix_space
									snake_case__	     =True

							if state.get('trim_offsets'					,   _UpperCAmelCase						) != trim_offsets:
									snake_case__	     =trim_offsets
									snake_case__	     =True

							if changes_to_apply:
									snake_case__	     =getattr(_UpperCAmelCase					,   state.pop('type'						)						)
									snake_case__	     =component_class(**_UpperCAmelCase						)
									setattr(self.backend_tokenizer					,   _UpperCAmelCase					,   _UpperCAmelCase						)






			@property
			def 						_lowercase  (     self						)							->							str:
					if self._mask_token is None:
							if self.verbose:
									logger.error('Using mask_token, but it is not set yet.'						)
							return None
					return str(self._mask_token						)






			@mask_token.setter
			def 						_lowercase  (     self					,   _UpperCAmelCase						)							->							int:
					snake_case__	     =AddedToken(_UpperCAmelCase					,   lstrip=_UpperCAmelCase					,   rstrip=_UpperCAmelCase						) if isinstance(_UpperCAmelCase					,   _UpperCAmelCase						) else value
					snake_case__	     =value






			def 						_lowercase  (     self					,   *_UpperCAmelCase					,   **_UpperCAmelCase						)							->							BatchEncoding:
					snake_case__	     =kwargs.get('is_split_into_words'					,   _UpperCAmelCase						)

					if is_split_into_words and not self.add_prefix_space:
							raise ValueError(
							    f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
							    'to use it with pretokenized inputs.'						)

					return super()._batch_encode_plus(*_UpperCAmelCase					,   **_UpperCAmelCase						)






			def 						_lowercase  (     self					,   *_UpperCAmelCase					,   **_UpperCAmelCase						)							->							BatchEncoding:
					snake_case__	     =kwargs.get('is_split_into_words'					,   _UpperCAmelCase						)

					if is_split_into_words and not self.add_prefix_space:
							raise ValueError(
							    f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
							    'to use it with pretokenized inputs.'						)

					return super()._encode_plus(*_UpperCAmelCase					,   **_UpperCAmelCase						)






			def 						_lowercase  (     self					,   _UpperCAmelCase					,   _UpperCAmelCase = None						)							->							Tuple[str]:
					snake_case__	     =self._tokenizer.model.save(_UpperCAmelCase					,   name=_UpperCAmelCase						)
					return tuple(_UpperCAmelCase						)






			def 						_lowercase  (     self					,   _UpperCAmelCase					,   _UpperCAmelCase=None						)							->							Optional[int]:
					snake_case__	     =[self.bos_token_id] + token_ids_a + [self.eos_token_id]
					if token_ids_a is None:
							return output

					return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]






			def 						_lowercase  (     self					,   _UpperCAmelCase					,   _UpperCAmelCase = None						)							->							List[int]:
					snake_case__	     =[self.sep_token_id]
					snake_case__	     =[self.cls_token_id]

					if token_ids_a is None:
							return len(cls + token_ids_a + sep						) * [0]
					return len(cls + token_ids_a + sep + sep + token_ids_a + sep						) * [0]




